National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Analytics Engineer

Leeds
3 weeks ago
Applications closed

Related Jobs

View all jobs

Analytics Engineer

Fabric Analytics Engineer

Data Engineer (Marketing & Analytics Focus) - Remote

QA Engineer - Analytics & Data Engineering - ASE

Senior Data Engineer

Senior Data Engineer

Are you passionate about building scalable, analytics-ready data models that power business intelligence and AI? I'm looking for an Analytics Engineer to join a global organisation that's investing heavily in a modern, AI-ready data platform - and this is your chance to help shape it from the ground up.

You'll be part of a newly formed, high-impact Data Team working in a fast-paced, collaborative, and entrepreneurial environment. Based in their modern Leeds office, you'll spend 4 days a week on-site, working closely with engineers, analysts, and business stakeholders.

🚀 About the Platform:

This greenfield initiative is focused on building a next-gen data ecosystem with a tech stack including:

Snowflake for cloud data warehousing
dbt for transformation and modelling
Azure for cloud infrastructure and orchestration
Fivetran for automated data ingestion
Power BI and other modern BI tools for reporting and visualisation🧠 What You'll Do:

Design and implement scalable, well-documented data models in Snowflake using dbt
Build curated, reusable data layers that support consistent KPIs and enable self-service analytics
Collaborate with Power BI developers to deliver insightful, high-performance dashboards
Work with Data Engineers to optimise data ingestion and orchestration pipelines using Azure Data Factory and Fivetran
Apply best practices in dimensional modelling, layered architecture, and data quality✅ What We're Looking For:

Strong experience in data modelling and SQL
Hands-on experience with dbt and cloud data platforms like Snowflake or Azure Synapse Analytics
Solid understanding of modern data stack principles, including layered modelling and data warehouse design
Excellent communication skills and the ability to work with stakeholders across technical and non-technical teamsNice to have:

Experience with Power BI or similar BI tools
Familiarity with CI/CD practices in data environments
Exposure to data governance and metadata management🎁 What's in It for You:

Salary from ÂŁ50,000 to ÂŁ65,000depending on experience
Discretionary bonus
4% employer pension contribution
25 days holiday(plus bank holidays), increasing with service
Holiday purchase scheme
Electric/hybrid car scheme

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group. For a confidential discussion about this role or your job search, contact (url removed)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.